Articles by: Elizabeth Miller
13 Essential Questions to Ask Yourself Before Creating a Dashboard or Report
Creating a dashboard or report might seem like a straightforward task—collect some data, throw in a few charts, and call it a day. But if you want it to be truly useful, there’s a lot more to think about. A great dashboard isn’t just a collection of numbers; it’s a tool that drives action, aligns teams, and supports smarter decisions. Here are some key considerations to keep in mind as you prepare to build something that delivers real value.
Start with the Why: Clarifying Purpose and Outcomes
Every report should have a clear reason for existing. What decisions will it support, and what questions are you trying to answer? Without a clear purpose, you risk creating something that looks nice but offers little actionable insight. It’s also worth thinking about how you’ll know when it’s done. Will you feel confident presenting it? Who will review or evaluate your work once it’s live, and what will success look like?
Know Your Audience and Tailor for Usability
Your dashboard should speak directly to the people who will use it. Some users, like executives, need high-level insights they can digest in minutes, while analysts may need deeper, more detailed views. It’s important to consider their familiarity with data and terminology. Will they be able to interpret the results easily, or would visuals and a data dictionary help? A dashboard only adds value if the people using it know what to do with it—if not, it’s just noise.
It’s also helpful to think about how user-friendly the report will be. Are there features that could enhance usability, like filters or drill-downs? Should you include any training, onboarding, or handoff materials to make adoption smoother?
Decide on Granularity: How Deep Do You Need to Go?
Determining the right level of detail is critical. Are you looking at broad trends over a quarter or digging into daily sales by region or category? The right time period and granularity depend on the decisions the report will support. Too much detail can overwhelm, while too little can leave important insights hidden.
Work with Reliable Data: The Backbone of a Good Dashboard
No matter how beautiful a dashboard looks, it’s only as good as the data behind it. Make sure your sources are accurate, reliable, and up to date. Are there gaps or inconsistencies that could affect insights? Do you need to reconcile multiple data sources before building the report? Good data builds trust—without it, your dashboard loses credibility.
Plan for Access, Permissions, and Compliance
Not everyone needs access to every dashboard. Think carefully about who needs to see it and whether certain users should have restricted views. If your report contains sensitive information—like PII—you’ll need to ensure it meets privacy and compliance standards. Role-based permissions can help manage access while keeping data secure.
Make It Interactive: Filters, Drill-Downs, and Flexibility
A static report can only take you so far. Adding interactivity, such as filters and drill-downs, lets users explore the data and answer their own questions. Consider how the report will be accessed—does it need to work on multiple devices like tablets or mobile phones? Fast load times also matter; no one likes waiting for insights.
Provide Context: Numbers Don’t Tell the Whole Story
Even the most carefully curated data can be misinterpreted without proper context. Use annotations to explain anomalies, seasonality, or business events that might affect trends. Clear explanations help users understand what the data means and how it applies to their decisions.
Add Useful Features: Go Beyond the Basics
Depending on the dashboard’s purpose, you may need more than just charts. Features like anomaly detection can flag unusual trends, while search functions and alerts can help users stay on top of key metrics. Focus on features that add real value, rather than overloading the dashboard with unnecessary elements.
Think Long-Term: Maintenance and Documentation
Dashboards aren’t “set it and forget it” tools. Plan for regular updates—whether that’s daily, weekly, or monthly—and decide who will be responsible for keeping it current. Documentation is also key, especially if others will need to maintain or modify the dashboard in the future. You’ll want a system for gathering feedback to ensure it stays relevant over time.
Manage Change: Dashboards Evolve
Over time, business needs will change, and so will your dashboard. Establish a plan for managing updates and version control so everyone stays aligned. Regular communication with users about changes helps prevent confusion and ensures the dashboard continues to meet their needs.
Define Success: How Will You Know It’s Working?
Finally, think about how you’ll measure the effectiveness of your dashboard. Are people using it regularly? Is it helping teams make better decisions? Usage metrics, time-to-insight, and feedback loops can provide valuable signals about what’s working and what needs improvement.
In Summary
A well-built dashboard is more than just a report—it’s a tool that drives decisions, aligns teams, and delivers value. By asking the right questions upfront and planning for long-term usability, you’ll create something that not only looks good but works hard for your business. With careful thought and a solid foundation, your dashboards and reports will become a key part of your organization’s success.
Smalls Analytics is now Bancroft Digital
We are happy to announce that Bancroft Digital is officially live to all clients, partners, and most importantly — you! After many years of individually-led projects by “Smalls,” we’ve grown into a full service Digital Analytics Agency. Our team is comprised of some of the analytics industry’s finest talent, with a refined capability to sharply focus on data efficiency, quality, and excellence in client service.
We are here to drive value for our clients — empowering you to make the world a better place with each product & service your company offers around the globe. We get to handle the distractions and solve the complexities that arise with managing, maintaining, and maturing digital analytics operations (what we refer to as the ‘fun part’ of our job) in a way that serves you as an individual, your company, shareholders, and customers.
Learn more about our company and services by navigating around our site, and get in touch with us:
- Contact Sales so we can help you achieve digital analytics success
- Let us know what you think in the comments
- Connect with us on Twitter @BancroftDigital
Cheers to a prosperous 2019!
— Elizabeth & The Bancroft Digital Team
The World’s Easiest Campaign Tracking Strategy
Avoid unnecessary complications and ensure you know what’s happening with your marketing campaigns
Develop stakeholder relationships
Who runs campaigns? Who uses the data? Make effort to intentionally form professional relationships with these people, let them know who you are and get to know them.
Collaborate toward a standard process
Where does analytics fit within the campaign planning process? What are the lead times?
Standardize nomenclature
For campaign tagging in tools like Google Analytics or Adobe Analytics, it’s easy to develop a standardized format for values.
Use/build a tool
We’re all prone to error, and having a tool that follows the nomenclature established significantly reduces this risk.
Train end users
Build it, and they will ignore it. Re-engage users through brown bag lunches, training meetings, or just pulling someone over to your desk to ‘check out’ the setup.
Automate reporting
Develop reports that automatically pull in basic campaigns data (sessions, new users, bounce rate, conversion volume, cv rate, etc.) as a starting point for your stakeholders. Both Google Analytics 360 and Adobe Analytics have ways to parse and classify the data, but the point is to provide your stakeholders with guardrails and remove complexity.
Building your marketing campaign tracking strategy upon these pillars will ensure success for the business, and gives the following benefits:
- Improved relationships between stakeholders & analytics
- Consistency & reliability in data quality
- A centralized source of truth
Have more to add or consider? Let us know in the comments!